Monitor Your AI Agents in Production with Noveum.ai
Real-time monitoring, tracing, and analytics for AI agents in production. Track every LLM call, agent decision, and tool interaction with complete visibility across your entire AI infrastructure.
The Challenge
Traditional Monitoring Tools Don't Understand AI Applications
As AI agents become mission-critical, the gap between traditional observability and AI-specific needs grows wider. Without specialized monitoring, you're flying blind.
Invisible Agent Behavior
Traditional APM tools track HTTP requests, not agent decisions. You can't see why your agent chose a specific path, used certain tools, or produced particular outputs.
Uncontrolled AI Costs
Token usage spirals out of control without visibility. Teams discover they're spending 10x more than necessary only when the monthly bill arrives.
Undetected Hallucinations
AI agents confidently produce incorrect information. Without semantic evaluation, these errors slip through to production, damaging trust and causing real business harm.
Performance Degradation
Latency spikes, timeout errors, and degraded quality go unnoticed until users complain. By then, the damage to user experience is done.
The Cost of Inadequate AI Monitoring
Companies without specialized AI observability report 3x more production incidents, 40% higher AI costs, and significantly longer debugging cycles when issues occur.
The Noveum Solution
Purpose-Built AI Agent Monitoring for Production
Noveum.ai provides complete observability designed specifically for AI applications. See everything your agents do, understand why, and optimize performance in real-time.
Real-time AI Dashboard
Monitor all your AI agents from a single pane of glass with AI-specific metrics that actually matter.
Hierarchical Trace Visualization
See the complete flow of multi-agent workflows with parent-child span relationships and tool interactions.
Multi-Agent Workflow Support
Track complex multi-agent systems like CrewAI, AutoGen, and LangGraph with full visibility into agent collaboration.
AI Cost Tracking
Real-time cost attribution per project, agent, and request. Set budgets, get alerts, and optimize spending.
Performance Analytics
P50/P95/P99 latency, throughput, error rates, and token usage trends with customizable time ranges.
Live Monitoring & Alerts
Instant notifications when agents misbehave, costs spike, or performance degrades below thresholds.
Everything You Need to Master AI Operations
Our dashboard gives you complete visibility into your AI agents' performance, costs, and behavior—all in real-time.
Hierarchical Span Tracking
Every LLM call, tool use, and agent decision captured with full context and timing.
Latency Breakdown
See exactly where time is spent—LLM inference, tool execution, or data retrieval.
Token Usage Analytics
Track input/output tokens per request with cost attribution by provider.
Error Analysis
Catch failures fast with detailed error traces and automatic categorization.
Key Features
Enterprise-Grade AI Agent Monitoring
Complete AI Tracing
Capture every interaction in your AI pipeline with hierarchical traces that show the full story.
- Every LLM call with full request/response
- RAG retrieval steps and document context
- Tool and function call execution
Real-time Dashboards
Monitor your entire AI fleet from a single, customizable dashboard built for AI operations.
- Live request volume and latency
- Customizable time ranges and filters
- Project and environment segmentation
Cost Analytics & Optimization
Know exactly what your AI is costing and identify opportunities to optimize spending.
- Token usage by provider and model
- Cost attribution by project and agent
- Budget alerts and spending forecasts
Performance Metrics
Track the metrics that matter for AI applications with percentile-level precision.
- P50/P95/P99 latency tracking
- Throughput and error rate monitoring
- Time-to-first-token analysis
Multi-Framework Support
Works with any AI framework—we meet you where you are, not the other way around.
- LangChain, CrewAI, AutoGen, LangGraph
- OpenAI, Anthropic, AWS Bedrock, Azure
- Custom implementations and direct APIs
112 Calibrated Evaluation Scorers
Automatically evaluate AI outputs with our comprehensive scorer library—no manual review needed.
- Accuracy, relevance, and coherence
- Safety, bias, and toxicity detection
- Custom business rule evaluation
Works With Your Entire AI Stack
Seamlessly integrate with all major AI frameworks, providers, and custom implementations.
Use Cases
Built for Production AI Workloads
From simple chatbots to complex multi-agent systems, Noveum.ai handles it all.
Enterprise Customer Support Chatbots
Monitor AI-powered support agents handling thousands of customer interactions daily. Track resolution quality, response times, and escalation patterns.
Multi-Agent Research Systems
Trace complex research workflows where multiple agents collaborate—researchers, analysts, and synthesizers working together autonomously.
RAG-Based Document Processing
Monitor retrieval-augmented generation pipelines processing millions of documents. Track retrieval quality, context relevance, and generation accuracy.
Autonomous Workflow Automation
Observe AI agents automating complex business processes—from data extraction to decision making to action execution.
AI-Powered Data Analysis
Track AI agents analyzing large datasets, generating insights, and producing reports with full visibility into their reasoning.
Quick Start
Start Monitoring in Under 5 Minutes
Our lightweight Python SDK integrates seamlessly with LangChain, LangGraph, and other frameworks. No infrastructure changes required.
- 1
Install the SDK
- 2
Add Your API Key
- 3
Add Callback Handler
Install the SDK
Add our lightweight Python SDK to your project with a single command.
pip install noveum-traceAdd Your API Key
Set your API key as an environment variable. Organization is inferred automatically.
export NOVEUM_API_KEY=your-api-keyAdd Callback Handler
Add the callback handler to your LangChain LLMs. That's it—you're monitoring!
llm = ChatOpenAI(callbacks=[callback_handler])No Credit Card Required
Ready to Monitor Your AI Agents?
Join developers who trust Noveum.ai for production AI observability. Start your free trial today.
FAQ
Frequently Asked Questions
Everything you need to know about AI Agent Monitoring with Noveum.ai.
What is AI Agent Monitoring?
AI Agent Monitoring is a specialized observability solution designed to track, trace, and analyze AI agents running in production environments. Unlike traditional APM tools, it understands AI-specific metrics like token usage, LLM latency, agent decision paths, and tool interactions.
How does Noveum.ai differ from traditional monitoring tools?
Traditional monitoring tools track HTTP requests and system metrics. Noveum.ai is purpose-built for AI applications, providing hierarchical trace visualization for multi-agent workflows, token-level cost tracking, semantic evaluation of AI outputs with 112 calibrated scorers, and multi-framework support (LangChain, CrewAI, AutoGen, etc.).
Which AI frameworks does Noveum.ai support?
Noveum.ai supports all major AI frameworks including LangChain, CrewAI, AutoGen, LangGraph, LlamaIndex, and direct API integrations with OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, and Google Cloud (Vertex AI). Our lightweight SDKs work with any custom implementation.
How does cost tracking work in Noveum.ai?
Noveum.ai automatically calculates costs based on token usage across different AI providers. You get real-time cost attribution per project, per agent, and per request, with budget alerts and optimization recommendations to reduce AI spending.
Can Noveum.ai monitor multi-agent systems?
Yes! Noveum.ai excels at monitoring multi-agent systems. Our hierarchical trace visualization shows parent-child relationships between agents, tool calls, and LLM interactions, making it easy to debug complex agentic workflows.
Is my data secure with Noveum.ai?
Absolutely. All data is encrypted at rest and in transit. You retain full ownership and control. We offer self-hosted options for enterprises with strict compliance requirements. SOC 2 Type II certification is in progress.
How long does it take to set up Noveum.ai?
Most teams are up and running in under 5 minutes. Install our Python SDK (pip install noveum-trace), add your API key, and add the callback handler to your LangChain LLMs. That's it!
Do you offer a free trial?
Yes! We offer a 14-day free trial with full access to all features. No credit card required. Start monitoring your AI agents today and see the difference specialized observability makes.
Start Monitoring Your AI Agents Today
Join thousands of teams using Noveum.ai to build more reliable, cost-effective AI applications.
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